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The proposed algorithm attempts to combine the parliliuning hosed 3D dvtmmic dolo compression and the multi-level k-way graph purlirioning algorithms to achicvc multi-rcsolutian reconstruction of animation scqucnces. Parliliuning hmed 3 0 dynomic dura compres.~ion efficiently encodcs changes beheen partitiancd meshes while thc mdli-level P-wuy graph pmfilioning algorithm provides partitioning information for the input graph (mesh) at various resolutions. Combining the two provides a powerful tool to incorporate both spatial down sampling and tcmporal compression in a streaming framework where the server can satisfy the nccds of a low-end uscr as well as effectively adapt to dynamically varying bandwidth constraints. At thc decoder, the mesh may either be reconstructed at the streamed resolution or at a higher resolution by ingcniously adding vertices so that the viewer does not feel the effects of down sampling, and consequently, the deterioration in quality. Our algorithm deals with mcshes whose connectivity does not change with time.